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---
tags:
- generated_from_trainer
datasets:
- /home/ullriher/ullriher/src/datasets/feversum3.py
model-index:
- name: t5-small-finetuned-xsum_feversum3_text2claim_bs2_ep30
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned-xsum_feversum3_text2claim_bs2_ep30
This model is a fine-tuned version of [/home/ullriher/ullriher/models/claimext23/t5-small-finetuned-xsum_feversum3_text2claim_bs2_ep30/checkpoint-4500](https://huggingface.co//home/ullriher/ullriher/models/claimext23/t5-small-finetuned-xsum_feversum3_text2claim_bs2_ep30/checkpoint-4500) on the /home/ullriher/ullriher/src/datasets/feversum3.py dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.17.0
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.11.6
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